Cylindrical Silicon Nanowire Transistor Modeling Based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Rostamimonfared, Jalal; Talebbaigy, Abolfazl; Esmaeili, Teamour; Fazeli, Mehdi; Kazemzadeh, Atena

doi:10.5370/jeet.2013.8.5.1163

Cited by 2 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In other hand, artificial neural networks are a powerful tool used for complex system with different arbutuses. The combination of these methods has presented ANFIS, that gather fuzzy logics and neural networks advantages [18][19][20].…”

Section: Adaptive Neuro-fuzzy Inference System Algorithm (Anfis)mentioning

confidence: 99%

Fault detection and location of power transmission lines using intelligent distance relay

Kazzaz¹,

Ismaeel²,

Mohammed³

2020

IJPEDS

View full text Add to dashboard Cite

The aim of this paper is to design a three-phase distance relay using an adaptive neuro-fuzzy inference system algorithm (ANFIS). The proposed relay is used to protect the power transmission lines where they are subjected to faults continuously. These faults may produce a high electric current which leads to high damage in power system equipment. The relay is used to detect the transmission line faults by measuring the voltage and current values for each phase. The line impedance is then calculated to detect the faults and issue instantaneous trip signal to circuit breaker, to separate the fault zone of the transmission line without affecting the work of other relays. To isolate the faulty line without affecting the other lines within the network the relays were trained using adaptive neuro-fuzzy inference system (ANFIS). The obtained results through this work show that the designated distance relay with (ANFIS) algorithm has the ability to detect the faults occurrence, recognize it from the cases of the disturbance and to isolate only the fault zone without affecting the work of other relays in system.

show abstract

Section: Adaptive Neuro-fuzzy Inference System Algorithm (Anfis)mentioning

confidence: 99%